diff --git a/examples/natural_robustness/ocr_evaluate/cnn_ctc/src/dataset.py b/examples/natural_robustness/ocr_evaluate/cnn_ctc/src/dataset.py
index 3d78c89..2c918e7 100644
--- a/examples/natural_robustness/ocr_evaluate/cnn_ctc/src/dataset.py
+++ b/examples/natural_robustness/ocr_evaluate/cnn_ctc/src/dataset.py
@@ -22,8 +22,8 @@ import numpy as np
 from PIL import Image
 import lmdb
 from mindspore.communication.management import get_rank, get_group_size
-from src.model_utils.config import config
-from src.util import CTCLabelConverter
+from .model_utils.config import config
+from .util import CTCLabelConverter
 
 
 class NormalizePAD:
diff --git a/examples/natural_robustness/ocr_evaluate/generate_adv_samples.py b/examples/natural_robustness/ocr_evaluate/generate_adv_samples.py
index 62b87df..bd4ba41 100644
--- a/examples/natural_robustness/ocr_evaluate/generate_adv_samples.py
+++ b/examples/natural_robustness/ocr_evaluate/generate_adv_samples.py
@@ -88,7 +88,7 @@ def generate_adv_iii5t_3000(lmdb_paths, lmdb_save_path, perturb_config):
 
     print(f'num of samples in IIIT dataset: {len(filtered_index_list)}')
 
-    client = Client("10.113.216.54:5500", "perturbation", "natural_perturbation")
+    client = Client("0.0.0.0:5500", "perturbation", "natural_perturbation")
     start_time = time.time()
     result = client.infer(instances)
     end_time = time.time()
@@ -101,9 +101,12 @@ def generate_adv_iii5t_3000(lmdb_paths, lmdb_save_path, perturb_config):
         for i, index in enumerate(filtered_index_list):
             try:
                 file_names = result[i]['file_names'].split(';')
-            except:
+            except KeyError:
                 error_msg = result[i]
-                raise ValueError(error_msg)
+                msg = 'serving failed to generate the {}th image in origin dataset with ' \
+                      'error messages: {}'.format(i, error_msg)
+                print(KeyError(msg))
+                continue
 
             length = result[i]['file_length'].tolist()
             before = 0
diff --git a/examples/natural_robustness/ocr_evaluate/对OCR模型CNN-CTC的鲁棒性评测.md b/examples/natural_robustness/ocr_evaluate/对OCR模型CNN-CTC的鲁棒性评测.md
index 97219ff..dbd1f26 100644
--- a/examples/natural_robustness/ocr_evaluate/对OCR模型CNN-CTC的鲁棒性评测.md
+++ b/examples/natural_robustness/ocr_evaluate/对OCR模型CNN-CTC的鲁棒性评测.md
@@ -209,7 +209,7 @@
       3. 请求自然扰动serving服务，并保存serving返回的数据
 
          ```python
-         client = Client("10.113.216.54:5500", "perturbation", "natural_perturbation")
+         client = Client("0.0.0.0:5500", "perturbation", "natural_perturbation")
          start_time = time.time()
          result = client.infer(instances)
          end_time = time.time()
diff --git a/examples/natural_robustness/serving/server/perturbation/servable_config.py b/examples/natural_robustness/serving/server/perturbation/servable_config.py
index 36772f9..8752c57 100644
--- a/examples/natural_robustness/serving/server/perturbation/servable_config.py
+++ b/examples/natural_robustness/serving/server/perturbation/servable_config.py
@@ -47,6 +47,8 @@ def check_inputs(img, perturb_config, methods_number, outputs_number):
     if not np.any(img):
         raise ValueError("img cannot be empty.")
     img = Image.open(BytesIO(img))
+    if img.mode == "L":
+        img = img.convert('RGB')
     img = cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR)
 
     config = json.loads(perturb_config)